Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

TimeSeriesDenseEncoderForecastingTrainingJob

Topic in 1 exam domain

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A forecasting training class that uses the Time-series Dense Encoder training method based on a multi-layer perceptron.

Where this appears on the exam

1 objective in 1 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.2Training models
  - Model training using different software development kits (SDKs) (e.g., Agent Platform custom training, Kubeflow on Google Kubernetes Engine [GKE], Agent Platform AutoML, and Tabular Workflows) and organizing training on Google Cloud

How learners score on this topic

Last updated October 16, 2026

Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

TimeSeriesDenseEncoderForecastingTrainingJob

Topic in 1 exam domain

X LinkedIn Facebook Reddit

A forecasting training class that uses the Time-series Dense Encoder training method based on a multi-layer perceptron.

Where this appears on the exam

1 objective in 1 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.2Training models
  - Model training using different software development kits (SDKs) (e.g., Agent Platform custom training, Kubeflow on Google Kubernetes Engine [GKE], Agent Platform AutoML, and Tabular Workflows) and organizing training on Google Cloud

How learners score on this topic

Last updated October 16, 2026